Robust Adaptive Control of a CACZVS Three-Phase PFC Converter for Power Supply of Silicon Growth Furnace

Ren, Hai‐Peng; Guo, Xin

doi:10.1109/tie.2015.2477338

Cited by 12 publications

(15 citation statements)

References 23 publications

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“…This simulation configuration has the following benefits: (1) Compared to MATLAB, PSIM uses an ideal device to build the model and it uses a simpler trapezoidal method to solve the system equation. Thus, the simulation speed is faster.…”

Section: A Simulation Resultsmentioning

confidence: 99%

“…The coupling strength ε n of the unilateral coupled map lattices is 0.85, and the initial values of the lattices are randomly chosen in [0,1]. In this paper, the proposed chaotic initialization method has the advantage of global convergence.…”

Section: A Simulation Resultsmentioning

confidence: 99%

“…Based on the working principle of a CACZVS three phase PFC converter [1], it is known that during most of the operation time, the auxiliary switch S 7 is conducting. S 7 is turned off in a very short time to create the zero voltage switching condition for the main switches.…”

Section: Three Phase Pfc Converter and Its Mathematical Modelmentioning

confidence: 99%

“…This does not affect the main circuit during the rest time. Therefore, the state space equation of the CACZVS three phase PFC converter in the three phase stationary coordinate system can be written as [1]:…”

Section: Three Phase Pfc Converter and Its Mathematical Modelmentioning

confidence: 99%

“…As a type of improved three phase Pulse-Width Modulation (PWM) converter, the compound active clamp zero voltage soft switching (CACZVS) three-phase power factor correction (PFC) converter [1] has wide application prospects, because it can realize zero voltage soft switching for all of the switches (including auxiliary switch) and suppress the diode reverse recovery current to reduce power losses.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Optimized PI Controller Design for Three Phase PFC Converters Based on Multi-Objective Chaotic Particle Swarm Optimization

Guo¹,

Ren²,

Ding³

2016

Journal of Power Electronics

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The compound active clamp zero voltage soft switching (CACZVS) three-phase power factor correction (PFC) converter has many advantages, such as high efficiency, high power factor, bi-directional energy flow, and soft switching of all the switches. Triple closed-loop PI controllers are used for the three-phase power factor correction converter. The control objectives of the converter include a fast transient response, high accuracy, and unity power factor. There are six parameters of the controllers that need to be tuned in order to obtain multi-objective optimization. However, six of the parameters are mutually dependent for the objectives. This is beyond the scope of the traditional experience based PI parameters tuning method. In this paper, an improved chaotic particle swarm optimization (CPSO) method has been proposed to optimize the controller parameters. In the proposed method, multi-dimensional chaotic sequences generated by spatiotemporal chaos map are used as initial particles to get a better initial distribution and to avoid local minimums. Pareto optimal solutions are also used to avoid the weight selection difficulty of the multi-objectives. Simulation and experiment results show the effectiveness and superiority of the proposed method.

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Section: A Simulation Resultsmentioning

confidence: 99%

Section: A Simulation Resultsmentioning

confidence: 99%

Section: Three Phase Pfc Converter and Its Mathematical Modelmentioning

confidence: 99%

Section: Three Phase Pfc Converter and Its Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Optimized PI Controller Design for Three Phase PFC Converters Based on Multi-Objective Chaotic Particle Swarm Optimization

Guo¹,

Ren²,

Ding³

2016

Journal of Power Electronics

Self Cite

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Adaptive neural integral sliding‐mode control for tracking control of fully actuated uncertain surface vessels

Van

2019

Intl J Robust & Nonlinear

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This paper develops a novel adaptive neural integral sliding-mode control to enhance the tracking performance of fully actuated uncertain surface vessels. The proposed method is built based on an integrating between the benefits of the approximation capability of neural network (NN) and the high robustness and precision of the integral sliding-mode control (ISMC). In this paper, the design of NN, which is used to approximate the unknown dynamics, is simplified such that just only one simple adaptive rule is needed. The ISMC, which can eliminate the reaching phase and offer higher tracking performance compared to the conventional sliding-mode control, is designed such that the system robust against the approximation error and stabilize the whole system. The design procedure of the proposed controller is constructed according to the backstepping control technique so that the stability of the closed-loop system is guaranteed based on Lyapunov criteria. The proposed method is then tested on a simulated vessel system using computer simulation and compared with other state-of-the-art methods. The comparison results demonstrate the superior performance of the proposed approach. KEYWORDSadaptive control, backstepping control technique, integral sliding-mode control, neural network, surface vessels Int J Robust Nonlinear Control. 2019;29:1537-1557. wileyonlinelibrary.com/journal/rnc

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Robust model predictive power control for three-phase VSRs under unbalanced grid

Guo

Ren

2023

ISA Transactions

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Robust Adaptive Control of a CACZVS Three-Phase PFC Converter for Power Supply of Silicon Growth Furnace

Cited by 12 publications

References 23 publications

An Optimized PI Controller Design for Three Phase PFC Converters Based on Multi-Objective Chaotic Particle Swarm Optimization

An Optimized PI Controller Design for Three Phase PFC Converters Based on Multi-Objective Chaotic Particle Swarm Optimization

Adaptive neural integral sliding‐mode control for tracking control of fully actuated uncertain surface vessels

Robust model predictive power control for three-phase VSRs under unbalanced grid

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